Primary exercises
- Manually created factor.
In a study participants were asked whether their sport activity is none, oncePerWeek, severalPerWeek or daily.
Build a proper factor for the responses below and store it in a variable w.
Print the factor.
Write the code to count the numbers of occurrences of each level and print the counts.
severalPerWeek, none, none, oncePerWeek, oncePerWeek, oncePerWeek, oncePerWeek, ?, none, none
v <- c( "severalPerWeek", "none", "none", "oncePerWeek", "oncePerWeek", "oncePerWeek", "oncePerWeek", NA, "none", "none" )
w <- factor( v, levels = c( "none", "oncePerWeek", "severalPerWeek", "daily" ) )
w
[1] severalPerWeek none none oncePerWeek oncePerWeek oncePerWeek
[7] oncePerWeek <NA> none none
Levels: none oncePerWeek severalPerWeek daily
fct_count( w )
# A tibble: 5 × 2
f n
<fct> <int>
1 none 4
2 oncePerWeek 4
3 severalPerWeek 1
4 daily 0
5 <NA> 1
- A factor with a random content.
Read help about the function sample.
Then study and try the following lines of code to understand the results.
Next, understand why an error is generated and use replace argument to generate a vector with 100 samples.
Store this vector in a variable v and build a factor w from it.
Finally, count the numbers of occurrences of each level in w.
Ensure, that levels are in order provided in the variable lvl.
lvs <- c( "none", "oncePerWeek", "severalPerWeek", "daily" )
sample( lvs, 3 )
[1] "none" "severalPerWeek" "daily"
sample( lvs, 3 )
[1] "daily" "none" "oncePerWeek"
sample( lvs, 3 )
[1] "daily" "oncePerWeek" "severalPerWeek"
sample( lvs, 100 )
Error in sample.int(length(x), size, replace, prob): cannot take a sample larger than the population when 'replace = FALSE'
v <- sample( lvs, 100, replace = TRUE )
w <- factor( v, levels = lvs )
w
[1] oncePerWeek daily none oncePerWeek none oncePerWeek
[7] oncePerWeek oncePerWeek daily none oncePerWeek oncePerWeek
[13] daily severalPerWeek severalPerWeek oncePerWeek oncePerWeek oncePerWeek
[19] none severalPerWeek daily severalPerWeek none daily
[25] severalPerWeek severalPerWeek severalPerWeek severalPerWeek severalPerWeek severalPerWeek
[31] daily oncePerWeek none none severalPerWeek daily
[37] daily daily severalPerWeek severalPerWeek oncePerWeek none
[43] oncePerWeek none severalPerWeek severalPerWeek oncePerWeek oncePerWeek
[49] severalPerWeek none oncePerWeek none severalPerWeek severalPerWeek
[55] daily daily none none none oncePerWeek
[61] daily none oncePerWeek oncePerWeek oncePerWeek oncePerWeek
[67] oncePerWeek daily daily severalPerWeek oncePerWeek none
[73] oncePerWeek severalPerWeek severalPerWeek none oncePerWeek severalPerWeek
[79] daily severalPerWeek oncePerWeek daily oncePerWeek severalPerWeek
[85] oncePerWeek none none daily daily none
[91] severalPerWeek severalPerWeek oncePerWeek oncePerWeek none oncePerWeek
[97] severalPerWeek severalPerWeek severalPerWeek severalPerWeek
Levels: none oncePerWeek severalPerWeek daily
fct_count( w )
# A tibble: 4 × 2
f n
<fct> <int>
1 none 21
2 oncePerWeek 31
3 severalPerWeek 30
4 daily 18
- Reordering factor levels.
When a factor is shown on an axis of a plot, the order is given by its levels.
The factor w from the previous exercise will be then shown in this order: none, oncePerWeek, severalPerWeek, daily.
But for a picture in a manuscript the following order might be needed: daily, severalPerWeek, oncePerWeek, none.
Apply to w one of the fct_ functions from the tidyverse library to produce a factor w2 with the requested order.
Show the levels of w2.
Again show the number of elements of each level in w2 and compare it with the table of the previous exercise.
w2 <- fct_relevel( w, c( "daily", "severalPerWeek", "oncePerWeek", "none" ) )
levels( w2 )
[1] "daily" "severalPerWeek" "oncePerWeek" "none"
fct_count( w2 )
# A tibble: 4 × 2
f n
<fct> <int>
1 daily 18
2 severalPerWeek 30
3 oncePerWeek 31
4 none 21